Event Abstract Back to Event The supply chain of the brain – An economic approach to human energy metabolism Dirk Langemann1* 1 Technische Universität Braunschweig, Institute of Computational Mathematics, Germany The description of the human metabolism from the food intake to the energy consumption in the body periphery and in the brain includes a tremendous number of regulatory pathways and involved substances. The abstraction from energy supporting and transporting substances to energy contents in selected compartments and the summarization of redundant regulatory pathways leads to integrated models of the metabolism. It is the clarity of these models, which allows us to develop a systemic understanding of the human metabolism as a whole by mathematical methods, in particular by the theory of dynamical systems. The named integrated models are supply chains, which are well-discussed in economics and logistics. In analogy to the systemic investigation of the metabolism, the economical mechanisms are not completely quantified although their basic directions of regulation are without any doubt. Nevertheless, worthwhile qualitative explanations are derived. Following this approach, the metabolism is regarded as an energy supply chain from the food intake to the final energy consumers in the organism. The complex and not completely quantified regulatory mechanisms are abstracted to their pull and push components, which mathematically speaking corresponds to a linearization. The pull component of a flux is the part regulated by the receiver, the push component is the part governed by the supplier. Robust modeling techniques assure the conservation of the qualitative behavior of the dynamical systems. The simple distinction between pull and push component yields qualitative properties of the considered dynamical system. Economic supply chains as well as metabolic supply chains with dominating pull component show a retrograde propagation of perturbation. Hence, effects of perturbations are found in front of their causes with respect to the transport direction. This implies that the cause of an obese body is behind the body compartment in the supply chain. Consequently, the Selfish-brain theory assumes the cause to be located in the brain. Integrated models are used to support such assumptions, e.g. the observation of a circadian rhythm of food intake requires the existence of a relevant energy consuming compartment behind the body compartment. Thus, the brain as energy consumer becomes an indispensable compartment in a systemic metabolism model. Beside the theoretical use of a comprehensible model frame for analyzing the metabolism and its pathologies, we present selected clinical applications where the systemic understanding of the human metabolism directly indicates therapeutic interventions. Future work will deal with the inclusion of the metabolic memory, the stress axis or the sleep rhythm into the integrated model. Conference: 2nd Selfish Brain Conference New research on the neurobiology of ingestive behaviour, 23554 Luebeck, Germany, 27 May - 28 May, 2010. Presentation Type: Oral Presentation Topic: Talks Citation: Langemann D (2010). The supply chain of the brain – An economic approach to human energy metabolism. Front. Neurosci. Conference Abstract: 2nd Selfish Brain Conference New research on the neurobiology of ingestive behaviour. doi: 10.3389/conf.fnins.2010.08.00002 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 12 Apr 2010; Published Online: 12 Apr 2010. * Correspondence: Dirk Langemann, Technische Universität Braunschweig, Institute of Computational Mathematics, Braunschweig, Germany, d.langemann@tu-bs.de Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Dirk Langemann Google Dirk Langemann Google Scholar Dirk Langemann PubMed Dirk Langemann Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
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